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[PRE REVIEW]: RBF: An R package to compute a robust backfitting estimator for additive models #2929
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post. For a list of things I can do to help you, just type:
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PDF failed to compile for issue #2929 with the following error: Can't find any papers to compile :-( |
@whedon generate pdf from branch joss |
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@whedon check references from branch joss |
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👋 @alemermartinez - I'm unsure if this fits JOSS, so the editors will now discuss if it meets JOSS's scope for review, specifically to check the size/scholarly effort of the software. This normally would take about a week, but might take longer due to the holidays. |
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Submission flagged for editorial review. |
@alemermartinez I just reviewed your paper as part of the scope check. I noted the following typo: |
@whedon generate pdf
…________________________________
De: Kevin Mattheus Moerman <[email protected]>
Enviado: martes, 29 de diciembre de 2020 06:49
Para: openjournals/joss-reviews <[email protected]>
Cc: Alejandra Martinez <[email protected]>; Mention <[email protected]>
Asunto: Re: [openjournals/joss-reviews] [PRE REVIEW]: RBF: An R package to compute a robust backfitting estimator for additive models (#2929)
@alemermartinez<https://github.com/alemermartinez> I just reviewed your paper as part of the scope check. I noted the following typo: additve. If you make any changes to the paper that you want to update you can call @whedon generate pdf here to update the paper.
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PDF failed to compile for issue #2929 with the following error: Can't find any papers to compile :-( |
@whedon commands
…________________________________
De: whedon <[email protected]>
Enviado: sábado, 26 de diciembre de 2020 11:35
Para: openjournals/joss-reviews <[email protected]>
Cc: Alejandra Martinez <[email protected]>; Mention <[email protected]>
Asunto: [openjournals/joss-reviews] [PRE REVIEW]: RBF: An R package to compute a robust backfitting estimator for additive models (#2929)
Submitting author: @alemermartinez<https://github.com/alemermartinez> (Alejandra Martínez<http://orcid.org/0000-0002-1893-2039>)
Repository: <https://github.com/msalibian/RBF> https://github.com/msalibian/RBF
Version: v2.0.1
Editor: Pending
Reviewer: Pending
Managing EiC: Daniel S. Katz
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Here are some things you can ask me to do:
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@whedon generate pdf from branch joss
…________________________________
De: whedon <[email protected]>
Enviado: martes, 29 de diciembre de 2020 11:20
Para: openjournals/joss-reviews <[email protected]>
Cc: Alejandra Martinez <[email protected]>; Mention <[email protected]>
Asunto: Re: [openjournals/joss-reviews] [PRE REVIEW]: RBF: An R package to compute a robust backfitting estimator for additive models (#2929)
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@mikldk has been invited to edit this submission. |
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OK, the editor is @mikldk |
@whedon generate pdf from branch joss |
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@alemermartinez Thanks. Please check which references you actually use from |
@whedon check references from branch joss
…________________________________
De: Mikkel Meyer Andersen <[email protected]>
Enviado: lunes, 25 de enero de 2021 16:58
Para: openjournals/joss-reviews <[email protected]>
Cc: Alejandra Martinez <[email protected]>; Mention <[email protected]>
Asunto: Re: [openjournals/joss-reviews] [PRE REVIEW]: RBF: An R package to compute a robust backfitting estimator for additive models (#2929)
@alemermartinez<https://github.com/alemermartinez> Thanks. Please check which references you actually use from refs.bib in the paper, and be sure that only those are included in the file and that they all have a DOI.
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Dear Mikkel,
I have just deleted all unnecessary references from the refs.bib file and added the missing DOI.
Kind regards,
Alejandra
…________________________________
De: whedon <[email protected]>
Enviado: martes, 26 de enero de 2021 12:13
Para: openjournals/joss-reviews <[email protected]>
Cc: Alejandra Martinez <[email protected]>; Mention <[email protected]>
Asunto: Re: [openjournals/joss-reviews] [PRE REVIEW]: RBF: An R package to compute a robust backfitting estimator for additive models (#2929)
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1080/10485252.2017.1369077 is OK
- 10.1016/0047-259X(89)90023-7 is OK
- 10.2307/2287576 is OK
- 10.1201/9780203753781-6 is OK
MISSING DOIs
- None
INVALID DOIs
- None
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@fabian-s, @kellieotto: Would you be interested in reviewing this submission to The Journal of Open Source Software? Reviews are open and based on a checklist. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. If you have any questions or concerns please let me know. |
sorry, too much else on my plate ATM :( |
@mcavs: Would you be interested in reviewing this submission to The Journal of Open Source Software? Reviews are open and based on a checklist. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. If you have any questions or concerns please let me know. |
@mikldk sorry, unfortunately I don't have the time after work to commit to doing a review right now. I hope to get back to doing reviews soon. |
@mmrabe: Would you be interested in reviewing this submission to The Journal of Open Source Software? Reviews are open and based on a checklist. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. If you have any questions or concerns please let me know. |
@mikldk sure! |
OK, @mcavs is now a reviewer |
@mikldk I'd be happy to review this one. |
OK, @mmrabe is now a reviewer |
@whedon start review |
OK, I've started the review over in #2992. |
Submitting author: @alemermartinez (Alejandra Martínez)
Repository: https://github.com/msalibian/RBF
Version: v2.0.1
Editor: @mikldk
Reviewers: @mcavs, @mmrabe
Managing EiC: Daniel S. Katz
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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